LIVE ZOOM SESSION SCHEDULE (All times Pacific UTC-7) * Tuesday, August 1: 4:00 – 7:00 PM * Wednesday, August 2: 4:00 – 7:00 PM * Thursday, August 3: 4:00 – 7:00 PM Welcome to L13 – Using the ORCID, Sherpa Romeo, and Unpaywall APIs in R to Harvest Institutional Data! Please follow the steps below prior to the first meeting ## Quick info * GitHub home: <https://github.com/ciakovx/fsci2023.git> * [OSF home](https://osf.io/98zdc/) * [FSCI schedule](https://fsci2023.sched.com/) * [Course syllabus](https://osf.io/uwx2q) * [Slack](https://fsci2023.slack.com) * [YouTube video walkthroughs](https://www.youtube.com/channel/UCtasDfFTEqdLRIlWDLyMNPw) * **Email:** If you can't reach us on Slack, email clarke.iakovakis@okstate.edu * [2022 course page](https://osf.io/4dmfz) * [2021 course page](https://osf.io/vpgbt/) (includes videos) ## Preparation See a [video going through these steps](https://www.youtube.com/watch?v=D5RnrRdNnXI) below. ### Slack Join the [FSCI2023 Slack workspace](https://fsci2023.slack.com/join/shared_invite/zt-1yejp5529-9fXlfcpteZE_p9PLzy_vrg?mc_cid=e7363e03bc&mc_eid=UNIQID#/shared-invite/email): fsci2023.slack.com. If you need help using Slack, see [this help page](https://slack.com/help/articles/218080037-Getting-started-for-new-members) or email fsci-info@force11.org. Slack will be an important communications hub for the institute. ### ORCID If you don't already have one, [sign up for an ORCID account](https://orcid.org/signin). You will also need an API key, which you can obtain by following these steps: 1. Log-in to your ORCID account. In the upper right corner, click your name, then in the drop-down menu, click **Developer Tools**. Note: In order to access Developer Tools, you must verify your email address. 2. Click the **Register for the free ORCID public API** button. 3. Review and agree to the terms of service when prompted. 4. Add your name in the **Name** field, https://www.orcid.org in the **Your Website URL** field, “Getting public API key” in **Description** field, and https://www.orcid.org in the **redirect URI** field. Click the diskette button to save. 5. A gray box will appear including your **Client ID** and **Client Secret**. You will use these to authenticate * Create a text file to save your API keys for easy access. Paste the Client Secret and the Client ID keys into that file. ### Posit (RStudio) Cloud You will also need an account on Rstudio Cloud. You can either [sign up directly with them](https://login.rstudio.cloud/register), or just [log-in with a Google or GitHub account](https://login.rstudio.cloud/login). After you have logged in, click on **New Project**, then **New project from Git Repository**. Paste the following URL in the box: https://github.com/ciakovx/fsci23.git and click **OK**. Optionally, if you are an experienced RStudio Desktop Application user, click on **File > New Project > Version Control > Git** and paste this URL into the box https://github.com/ciakovx/fsci23.git , decide where you want to save it, and click **Create Project** ### Sherpa Romeo You will also need an API key for Sherpa-Romeo, [sign up here](https://v2.sherpa.ac.uk/cgi/register) then click on Admin to see your API key. * We have found the notification email can get caught in university spam filters, so consider using an email address other than .edu, or add help@jisc.ac.uk to your email whitelist * Log-in to your account and click the Admin tab. Your API key will be displayed. * Paste this key into your API keys file. ### Find your university's Ringgold ID The easiest way to do this is to do the following: * Sign in to your ORCID account and scroll down to Employment. Click the Add button. * Start typing your institution. When it appears, click it. Click Save changes. * On your orcid profile, click Show more detail. Your institution’s Ringgold ID may be displayed. * If you don't see it there, look up your institution on [Wikidata](https://www.wikidata.org/) * You can also [look it up in the Ringgold database](https://www.ringgold.com/identify-online-guests/) but you must register to use this service. * Paste this number into your separate text file. ## Preparation help video @[youtube](https://www.youtube.com/watch?v=D5RnrRdNnXI) ## API Documentation & help * [Which fields does the ORCID Search API support?](https://info.orcid.org/faq/which-fields-does-the-orcid-search-api-support/) * [ORCID API](https://info.orcid.org/documentation/features/public-api/) * [Crossref API docs](https://api.crossref.org/) * [Sherpa Romeo API documentation](https://v2.sherpa.ac.uk/api/) * [Sherpa Romeo API Swagger UI](https://app.swaggerhub.com/apis/gobfrey/v2.sherpa-api/2.2) ## R help ### Cheat sheets * [Base R Cheat Sheet](https://paulvanderlaken.files.wordpress.com/2017/08/base-r-cheetsheat.pdf) by Mhairi McNeill * [Data Transformation with dplyr Cheat Sheet](https://github.com/rstudio/cheatsheets/blob/master/data-transformation.pdf) by RStudio * [Data Wrangling with dplyr and tidyr Cheat Sheet](https://paulvanderlaken.files.wordpress.com/2017/08/ddplyr-cheatsheet-data-wrangling-plyr.pdf) by RStudio * [Complete list of RStudio cheatsheets](https://github.com/rstudio/cheatsheets/) ### Learning R 1. swirl is a package you can install in R to learn about R and data science interactively. Just type install.packages("swirl") into your R console, load the package by typing library("swirl"), and then type swirl(). Read more at <http://swirlstats.com/> 2. learnr is another package for learning R interactively. Click on the Tutorial tab in the upper right corner of R Studio, in the environment pane 3. [Try R](http://tryr.codeschool.com/) is a browser-based interactive tutorial developed by Code School. 4. [Cookbook for R](http://www.cookbook-r.com/) by Winston Change provides solutions to common tasks and problems in analyzing data Books: * [R For Data Science](http://r4ds.had.co.nz/) by Garrett Grolemund & Hadley Wickham [free] * [An Introduction to Data Cleaning with R](https://cran.r-project.org/doc/contrib/de_Jonge+van_der_Loo-Introduction_to_data_cleaning_with_R.pdf) by Edwin de Jonge & Mark van der Loo [free] * [YaRrr! The Pirate’s Guide to R](https://bookdown.org/ndphillips/YaRrr/) by Nathaniel D. Phillips [free] * Springer’s [Use R!](https://link.springer.com/bookseries/6991) series [not free] is mostly specialized, but it has some excellent introductions including Alain F. Zuur et al.’s [A Beginner’s Guide to R](https://link.springer.com/book/10.1007/978-0-387-93837-0) and Phil Spector’s [Data Manipulation in R](https://link.springer.com/book/10.1007/978-0-387-74731-6) ## Use cases * Who relies on Crossref metadata? https://www.crossref.org/services/metadata-retrieval/user-stories/ * Introduction to roadoi (see “Use Case: Studying the compliance with open access policies”) https://cran.r-project.org/web/packages/roadoi/vignettes/intro.html * Using R packages to populate IR (Irine Tanudjaja) https://itanudjaja.github.io/project.html * Introduction to ORCID Researcher Identifiers in R with rorcid (Paul Oldham) https://www.pauloldham.net/introduction-to-orcid-with-rorcid/ * Creating a bibliography with rcrossref (Paul Oldham) https://www.pauloldham.net/creating-a-bibliography-with-rcrossref/ * Accessing the Scientific Literature with CrossRef (Paul Oldham) https://poldham.github.io/abs/crossref.html Updating your CV with packages (Erin Buchanan) https://www.aggieerin.com/post/updating-your-cv-with-packages/